The World Bank Working for a World Free of Poverty Microdata Library
  • Data Catalog
  • About
  • Collections
  • Citations
  • Terms of use
  • Login
    Login
    Home / Central Data Catalog / IMPACT_EVALUATION / KEN_2005_GEHDS_V01_M_V01_A_RUF / variable [F40]
impact_evaluation

Greater Eldoret Health and Development Survey (Round 2) 2005 - Research Use Files

Kenya, 2005
Get Microdata
Reference ID
KEN_2005_GEHDS_v01_M_v01_A_RUF
DOI
https://doi.org/10.48529/c2y3-7c75
Producer(s)
Markus Goldstein and Harsha Thirumurthy
Collection(s)
Impact Evaluation Surveys
Metadata
DDI/XML JSON
Created on
Jul 22, 2011
Last modified
Jul 07, 2016
Page views
224035
Downloads
1067
  • Study Description
  • Data Description
  • Documentation
  • Get Microdata
  • Data files
  • ag_a
  • ag_b
  • ag_c
  • ag_d
  • anthrop_a
  • anthrop_b
  • anthrop_c
  • assets
  • assets_I8
  • assets_I17
  • assets_II5
  • assets_II11
  • assets_IV7
  • assets_IV13
  • assets_V
  • assets_VI5
  • assets_VI12
  • behavior
  • behavior_c4
  • education
  • educexp
  • famback
  • famback_II
  • famback_III
  • famback_IV
  • famback_V
  • food
  • health
  • health_c
  • health_c_I
  • health_c_II
  • health_c_III
  • health_c_IV
  • hhr_correction
  • hhroster_1
  • hhroster_2
  • housing
  • housing_2
  • identification
  • income
  • iroster
  • marriage
  • marriage_b
  • marriage_c
  • mortality
  • mortality_b
  • networks
  • networks_a
  • networks_b
  • networks_c
  • networks_c9
  • networks_c10
  • networks_d
  • networks_e
  • othexp
  • shocks
  • shocks_a3
  • shocks_a7
  • shocks_a11
  • shocks_a15
  • shocks_a19
  • shocks_a24
  • shocks_b30
  • shocks_b33
  • shocks_b40
  • shocks_c45
  • shocks_c49
  • shocks_c53
  • timerisk
  • transfers
  • transfers_a2
  • transfers_a10
  • transfers_b2
  • transfers_d2
  • transfers_d7
  • transfers_d14
  • transfers_d19
  • youth

What did do for this work (inb02)

Data file: income

Overview

Valid: 838
Invalid: 4412
Type: Discrete
Decimal: 0
Width: 2
Range: 1 - 17
Format: Numeric

Questions and instructions

Literal question
What did [NAME] do in this work? What kind of trade, industry or business is it connected with?
Categories
Value Category Cases
1 Crop farmer 17
2%
2 Animal farmer 4
0.5%
3 Housewife 0
0%
4 Trader/merchant/salesperson 17
2%
5 Transport worker 57
6.8%
6 Construction worker 26
3.1%
7 Teacher/education professional 73
8.7%
8 Health professional/TBA/trad. Healer 5
0.6%
9 Secretary/clerical 28
3.3%
10 Factory worker 14
1.7%
11 Restaurant/bar/hotel 26
3.1%
12 Skilled trades (carpenter, tailor, etc.) 31
3.7%
13 Preacher/pastor 6
0.7%
14 Village elder 0
0%
15 Domestic worker 41
4.9%
16 Civil Servant/Government 73
8.7%
17 Other (specify) 420
50.1%
88 No activity/unemployed 0
0%
99 Don’t Know 0
0%
Sysmiss 4412
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Question post text
If more than one job of this type, choose the one that they spent the most time on in the past 6 months.

Description

Source of information
The primary male respondent.
Back to Catalog
The World Bank Working for a World Free of Poverty
  • IBRD IDA IFC MIGA ICSID

© The World Bank Group, All Rights Reserved.

This site uses cookies to optimize functionality and give you the best possible experience. If you continue to navigate this website beyond this page, cookies will be placed on your browser. To learn more about cookies, click here.